Lead response time calculator

How to use it

1. Add your inbound leads a month, your median time to first contact and how long the slowest fifth take.
2. Split those leads across awareness, consideration and decision.
3. Set your lead to meeting rate, meeting to closed won rate and average deal size, then choose the target you would move to.
4. Read the gap, then use the coverage panel to test whether your queue can hold that target.

 

How the numbers work

Speed is scored on a decay curve, and there is a different curve for each stage of the journey. Someone still researching the problem barely notices a day's delay, so awareness decays slowly. Someone comparing solutions is starting to form a shortlist, so consideration decays faster. Someone in a live decision is on the phone to your competitors this week, so decision collapses in minutes: at an hour they have kept a little over half of what they would have converted at five minutes, against roughly nine tenths for a researcher. Your score is the weighted blend of the three, applied to your median and your slowest 20 percent at four to one, so a good average cannot hide a bad tail.

The money comes from your own conversion rates. We treat your current lead to meeting rate as the rate you achieve at your current speed, work out what the same leads would convert at if you hit the target, and turn the difference into meetings, wins and revenue using your close rate and deal size. The coverage panel does the opposite sum: it takes your lead volume, spreads it over your covered hours, allows for a peak hour running at two and a half times the average, and works out how many people have to be free to answer inside the target.

 

Questions

What is a good lead response time?

It depends on who is asking. For a lead in a live decision, under five minutes is the honest answer, because that is the window in which they are still on your site and have not yet called the next vendor. For someone still researching the problem, an hour is fine and a day is survivable. That is why this tool asks for the split rather than giving you one number: a five minute SLA across every inbound lead is usually neither affordable nor necessary, and a five minute SLA on the decision stage almost always pays for itself.

Why does the stage split change the answer so much?

Because intent is what decays, not attention. A researcher who fills in a form is gathering information and will still be interested tomorrow. Someone in a decision has a shortlist, a timeline and two other vendors in their calendar, so every hour you take is an hour one of them is using. On the curve here a decision stage lead keeps about 57 percent of its conversion at an hour and 37 percent at a day, while an awareness lead keeps 91 and 82. Same delay, very different cost.

Why does the slowest 20 percent matter so much?

Because averages hide it. A team with a 20 minute median and a two day tail looks fine on a dashboard and loses the same deals every week. The tail is almost always structural: leads that arrive out of hours, leads that route to the wrong owner, leads that sit in a queue nobody owns. Those are fixable, and fixing them usually moves the number more than shaving minutes off the ones you already answer fast.

Is the conversion curve in this tool accurate?

It is deliberately conservative. Published studies report far steeper drops than the curves used here, some of them by a factor that would not survive contact with your CRM. We would rather understate the gap than sell you one. Set the stage split to match your own inbound and treat the output as a size of prize rather than a forecast. The real version is calibrated against your own closed won data.

How do we know which stage a lead is in?

Mostly from what they asked for. A pricing page enquiry, a demo request or a trial sign up is usually decision or late consideration. A guide download, a webinar registration or a newsletter sign up is usually awareness. If you cannot tell, route on the form rather than the person: the ones that asked to be contacted get the five minute clock, the ones that asked to be educated do not.

We cannot staff a five minute response. What then?

Then do not try to staff it for everything. Put the five minute clock on the decision stage only, which on a typical split is a quarter of your inbound, and give the rest a target you can actually hold. A one hour target you hit every time beats a five minute target you hit a third of the time, because consistency is what changes the tail. The coverage panel shows what each target really costs in people.

Does this apply to outbound as well?

No. This is for inbound: someone who filled in a form, asked for a demo, started a trial or replied to a campaign. Their intent decays because they are actively shopping. Outbound is a different clock, where cadence and persistence matter more than the first few minutes.

 

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